AGNTCon + MCPCon Japan 2026

As AI agents move from answering questions to taking actions across enterprise systems, reliability cannot be achieved through model quality alone. A practical production architecture separates non-deterministic reasoning from deterministic execution.

This session explores how to define that boundary with MCP-enabled tools. Agents can interpret ambiguous requests, gather context, and choose among bounded options. Deterministic workflows, services, and policy checks can then perform repeatable operations such as validation, approvals, system updates, notifications, audit logging, and recovery.

Using common enterprise action patterns, we will examine how this division of responsibility improves output quality while reducing unnecessary reasoning, latency, and token cost. We will also discuss how to design action interfaces with clear intent, constrained outcomes, and recoverable execution.

Rather than treating agents and workflows as competing approaches, this session presents them as complementary parts of a single execution architecture. Attendees will leave with a practical framework and checklist for designing reliable, cost-aware MCP capabilities across open-source agent frameworks and enterprise environments.

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Presentation Language: Japanese

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.